audio-cpp/Ming-3.0-TTS-0.5B-GGUF

text-to-speech model by audio-cpp

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Star or watch audio.cpp on GitHub to follow model integration, merged code changes and inference improvements. GGUF packages of Ming 3.0 TTS 0.5B for audio.cpp. Each file contains the Qwen backbone, flow-matching head, audio VAE, CAMPPlus speaker encoder, configuration, tokenizer and model spec. Output is mono at 44.1 kHz. No separate codec or Python runtime is required. audio.cpp family: ming3tts. Upstream implementation: inclusionAI/Ming-3.0-tts, pinned to revision e999c39fa676722aaa9ea29b5aa19a90525b271f for the Python comparison. Measured on an RTX 5090 with eight CPU threads and an audio.cpp Debug C++17 build. Python uses the pinned official BF16 implementation above. Both use the same text, voice-design instruction and seed. Warm RTF covers a 154-character request, its repeat and a 40-character request; peak memory covers the complete session, including warmup and a 571-character request. The long request is excluded from…

audio-cpp/Ming-3.0-TTS-0.5B-GGUF on Hugging Face A short preview, not the full document.

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  1. Ming 3.0 TTS 0.5B GGUF
  2. Performance
  3. Usage

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Model overview

audio-cpp/Ming-3.0-TTS-0.5B-GGUF is a text-to-speech model repository published by audio-cpp on Hugging Face. A library was not reported.

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Model facts

Task
text-to-speech
Library
Not reported
Recent downloads (30 days)
21,232
Cumulative likes
4
Hugging Face trending score
2
Reported safetensors parameters
Not reported
Architecture
Not reported
License
mit
Access
Not gated by Hugging Face
Created
2026-10-21T03:55:46.000Z
Last modified
2026-10-21T05:54:59.000Z

Compatibility and lineage

Reported languages: zh, en, ja, ko, de, fr, es

Reported base models: inclusionAI/Ming-3.0-tts-0.5B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.

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